{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ef81165b-6b2d-406c-b37b-f7a98e82d152",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1cfb2cfca19f45fba25d0abf0bb6ed35",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='img_list', options=(('MRI', ('img/MRI_clean.tif', 'img/MRI_noisy.t…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.optimize_denoise(img_list)>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from skimage import io\n",
    "import ipywidgets\n",
    "import numpy as np\n",
    "from skimage import img_as_float\n",
    "from skimage.metrics import peak_signal_noise_ratio as psnr\n",
    "from skimage.restoration import (denoise_tv_chambolle, denoise_bilateral, denoise_wavelet, denoise_nl_means)\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def fft2_denoise(im):\n",
    "    # TODO 完成fft2去噪算法，实现输入为原图，输出为去噪后的图像\n",
    "    h,w=im.shape\n",
    "    fCoef=np.fft.fft2(im)\n",
    "    amp_im_fft=np.log(np.abs(fCoef))\n",
    "    keep = 0.1  # 每一个角落保留1/10的内容\n",
    "    mask = np.ones((h, w))\n",
    "    h_min = int(h * keep)\n",
    "    h_max = int(h * (1 - keep))  # 需要掩盖住部分的纵坐标两端\n",
    "    w_min = int(w * keep)\n",
    "    w_max = int(w * (1 - keep))  # 需要掩盖住部分的横坐标两端\n",
    "    mask[h_min:h_max, :] = 0\n",
    "    mask[:, w_min:w_max] = 0\n",
    "    fCoef_mask=fCoef*mask\n",
    "    im_denoised=np.fft.ifft2(fCoef_mask).real\n",
    "    return im_denoised\n",
    "\n",
    "def optimize_denoise(img_list):\n",
    "    # 以下虽然用了as_gray=True, 但是对于某些tif仍然无法转化为float\n",
    "    # 所以仍然要使用img_as_floatpywidgets\n",
    "    clean_img=img_as_float(io.imread(img_list[0],as_gray=True)) # 干净原图\n",
    "    noisy_img=img_as_float(io.imread(img_list[1],as_gray=True)) # 有噪音图像\n",
    "    # TODO 完成此部分代码实现题目要求功能\n",
    "    \n",
    "    # 1. 双边滤波去噪\n",
    "    bilateral_img = denoise_bilateral(noisy_img, multichannel=False) \n",
    "    # 2. 全变分去噪\n",
    "    tv_img = denoise_tv_chambolle(noisy_img)\n",
    "    # 3. 小波去噪\n",
    "    wavelet_img = denoise_wavelet(noisy_img)\n",
    "    # 4. Skimage的非局部均值去噪\n",
    "    NLM_skimg_denoise_img = denoise_nl_means(noisy_img, patch_size=9, patch_distance=5)\n",
    "    \n",
    "    # 计算所有的去噪算法的PSNR（峰值信噪比）\n",
    "    bilateral_psnr = psnr(clean_img, bilateral_img)\n",
    "    tv_psnr = psnr(clean_img, tv_img)\n",
    "    wavelet_psnr = psnr(clean_img, wavelet_img)\n",
    "    NLM_psnr = psnr(clean_img, NLM_skimg_denoise_img)\n",
    "    fft2_psnr=psnr(clean_img,fft2_denoise(noisy_img))\n",
    "    \n",
    "    print(\"bilateral PSNR:\",bilateral_psnr)\n",
    "    print(\"tv PSNR:\",tv_psnr)\n",
    "    print(\"wavelet PSNR:\",wavelet_psnr)\n",
    "    print(\"NLM PSNR:\",NLM_psnr)\n",
    "    print(\"fft2 PSNR:\",fft2_psnr)\n",
    "    \n",
    "    psnr_list=np.array([bilateral_psnr,tv_psnr,wavelet_psnr,NLM_psnr,fft2_psnr])\n",
    "    i=np.argmax(psnr_list)\n",
    "    img_list=np.array([bilateral_img,tv_img,wavelet_img,NLM_skimg_denoise_img,fft2_denoise(noisy_img)])\n",
    "    algorithm_list=np.array(['bilateral','tv','wavelet','NLM','fft2'])\n",
    "    \n",
    "    fg,ax=plt.subplots(1,3,figsize=(10,4))\n",
    "    ax[0].imshow(clean_img,cmap=\"gray\")\n",
    "    ax[0].set_title(\"clean_img\")\n",
    "    ax[1].imshow(noisy_img,cmap=\"gray\")\n",
    "    ax[1].set_title(\"noisy_img\")\n",
    "    ax[2].imshow(img_list[i],cmap=\"gray\")\n",
    "    ax[2].set_title(\"{0}:{1}\".format(algorithm_list[i],psnr_list[i]))\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "x = ipywidgets.Dropdown(\n",
    "    options=[('MRI', (\"img/MRI_clean.tif\",\"img/MRI_noisy.tif\")),\n",
    "             ('cat', (\"img/cat.png\",\"img/cat_noisy.jpg\")),\n",
    "             ('balloon', (\"img/balloon.jpg\",\"img/balloon_noisy.jpg\")),\n",
    "             ('einstein', (\"img/einstein.jpg\",\"img/einstein_noisy.jpg\")),\n",
    "             ]\n",
    "    )\n",
    "ipywidgets.interact(optimize_denoise, img_list=x)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d218b529-2cf6-46e2-9cab-725268ab73b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from skimage import io\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from skimage.restoration import denoise_wavelet\n",
    "from skimage.metrics import peak_signal_noise_ratio as psnr\n",
    "\n",
    "clean_img=io.imread(\"img/cat.png\",as_gray=True)\n",
    "noisy_img=io.imread(\"img/cat_noisy.jpg\",as_gray=True)\n",
    "\n",
    "psnr_list=[]\n",
    "sigma_value=np.arange(0.01,1,0.01)\n",
    "\n",
    "for sigma in sigma_value:\n",
    "    wavelet_img=denoise_wavelet(noisy_img,sigma)\n",
    "    wavelet_psnr=psnr(clean_img,wavelet_img)\n",
    "    psnr_list.append(wavelet_psnr)\n",
    "psnr=np.array(psnr_list)\n",
    "\n",
    "wavelet_img=denoise_wavelet(noisy_img,sigma_value[np.argmax(psnr)])\n",
    "\n",
    "fg,ax=plt.subplots(1,4,figsize=(10,4))\n",
    "ax[0].imshow(clean_img,cmap='gray')\n",
    "ax[0].set_title(\"Noise_Free Image\",size=8)\n",
    "ax[1].imshow(noisy_img,cmap='gray')\n",
    "ax[1].set_title(\"Noise Image\",size=8)\n",
    "ax[2].imshow(wavelet_img,cmap='gray')\n",
    "ax[2].set_title(\"Wavelet Denoised(Best Sigma:{0:0.2f},PSNR:{1:0.2f})\".format(sigma_value[np.argmax(psnr)],np.max(psnr)),size=8)\n",
    "ax[3].plot(sigma_value,psnr)\n",
    "ax[3].set_title(\"PSNR vs Sigma\",size=8)\n",
    "corrd=\"({0:0.2f},{1:0.2f}))\".format(sigma_value[np.argmax(psnr)],np.max(psnr))\n",
    "ax[3].text(sigma_value[np.argmax(psnr)],np.max(psnr),s=corrd)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "016a0e05-b853-407a-a72c-36b2d5bbce54",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
